TY  - JOUR
AB  - Purpose– Being a developing nation with huge opportunity of growth prospects the assessment of valuation models becomes important to have a more realistic value estimate. The purpose of this paper is to empirically examine the comparative accuracy and explanatory performance of discounted cash flow (DCF) and residual income model (RIM) valuation models for the Indian chemical industry and come up with a composite valuation model. Design/methodology/approach– To achieve the objective of the study the authors first determine the intrinsic values using both the models. Comparisons of the models are based on prediction errors and the explanatory performance of market value on value estimates. The study uses panel regression to forecast estimates of earnings and measure explanatory performance. The authors examine the ability of the value estimates to explain cross-sectional variation in the observed market values. The study also uses GMM method for deriving robust estimators. Variables for the study are collected from the CMIE’s prowess data base (release 4). The authors consider all 1,075 BSE listed chemical companies for the purpose of the study. The study uses annual data points starting from 31 March 2002 to 31 March 2011. Findings– The comparative framework shows that both Residual Income model and Composite Valuation model are superior to Discounted cash flow model and are equally likely. But since composite value estimates considers all bonafide informations of individual models, the estimates of Composite Valuation model becomes more reliable. Research limitations/implications– The study only compares and combines the two most widely used valuation models around the world. Future studies can be conducted using the third widely used valuation models, i.e. multiples and see the level of accuracy of individuals as well as the composite model. Originality/value– As a concern very few research has been conducted in this area in India. This paper provides practitioners with a snapshot of the applicability of DCF and RIM valuation models. And also shows how a composite value estimate can improve accuracy.
VL  - 5
IS  - 2
SN  - 2042-1168
DO  - 10.1108/JAEE-09-2012-0036
UR  - https://doi.org/10.1108/JAEE-09-2012-0036
AU  - Tiwari Ranjit
AU  - Singla Harish Kumar
PY  - 2015
Y1  - 2015/01/01
TI  - Do combining value estimates increase valuation accuracy? Evidence from Indian chemical industry
T2  - Journal of Accounting in Emerging Economies
PB  - Emerald Group Publishing Limited
SP  - 170
EP  - 183
Y2  - 2024/04/25
ER  -